Daniel G. Green
- Molecular Biology top 10%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Ophthalmology top 1%
- Epidemiology top 10%
- Co-authors
- Maureen K. PowersNATALIA V. KAPOUSTA-BRUNEAUMartin S. BanksPablo ArtalP. TejadaIgnacio IglesiasCarol M. CiceroneNorberto López‐Gil
- Topics
- Retinal Development and Disorders (24 papers)Visual perception and processing mechanisms (19 papers)Photoreceptor and optogenetics research (16 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Daniel G. Green
48 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.1k
- Cognitive Neuroscience 862
- Cellular and Molecular Neuroscience 657
- Ophthalmology 492
- Epidemiology 430
Countries citing papers authored by Daniel G. Green
This map shows the geographic impact of Daniel G. Green's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel G. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Green more than expected).
Fields of papers citing papers by Daniel G. Green
This network shows the impact of papers produced by Daniel G. Green. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel G. Green. The network helps show where Daniel G. Green may publish in the future.
Co-authorship network of co-authors of Daniel G. Green
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Green. A scholar is included among the top collaborators of Daniel G. Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel G. Green. Daniel G. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Welcome to the House System. | 4 |
| 3 | 36 | |
| 4 | 129 | |
| 5 | 52 | |
| 6 | 50 | |
| 7 | 55 | |
| 8 | 46 | |
| 9 | 96 | |
| 10 | 6 | |
| 11 | 133 | |
| 12 | 30 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | 42 | |
| 16 | 26 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | Depth of focus, eye size, and visual acuity (A) | 1 |
About Daniel G. Green
Daniel G. Green is a scholar working on Ophthalmology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (24 papers), Visual perception and processing mechanisms (19 papers) and Photoreceptor and optogenetics research (16 papers). The work is most often cited by research in Ophthalmology (492 citations), Cognitive Neuroscience (862 citations) and Cellular and Molecular Neuroscience (657 citations). Daniel G. Green has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Maureen K. Powers, NATALIA V. KAPOUSTA-BRUNEAU, Martin S. Banks, Pablo Artal, P. Tejada, Ignacio Iglesias, Carol M. Cicerone, Norberto López‐Gil, Paul A. Sieving and John E. Dowling. Their work appears in journals such as Science, Journal of Neuroscience and The Journal of Physiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.